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Late Fusion-Based Video Transformer for Facial Micro-Expression Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45103-x_50openalex-snapshot
Two-Frame Motion Estimation Based on Polynomial Expansion
inferredcites →https://doi.org/10.1007/978-3-319-16178-5_23openalex-snapshot
Micro-Expression Recognition Using Robust Principal Component Analysis and Local Spatiotemporal Directional Features
inferredcites →https://doi.org/10.1007/978-3-319-16817-3_3openalex-snapshot
Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions
inferredcites →https://doi.org/10.1007/s10044-018-0757-5openalex-snapshot
Micro-expression recognition based on 3D flow convolutional neural network
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/j.image.2017.11.006openalex-snapshot
Less is more: Micro-expression recognition from video using apex frame
inferredcites →https://doi.org/10.1016/j.imavis.2020.104043openalex-snapshot
A survey of micro-expression recognition
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.082openalex-snapshot
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
inferredcites →https://doi.org/10.1109/access.2020.3006958openalex-snapshot
Facial Micro-Expression Recognition Using Two-Dimensional Landmark Feature Maps
inferredcites →https://doi.org/10.1109/cvpr.2011.5995345openalex-snapshot
Towards a practical lipreading system
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/fg.2013.6553717openalex-snapshot
A Spontaneous Micro-expression Database: Inducement, collection and baseline
inferredcites →https://doi.org/10.1109/iccv.2015.341openalex-snapshot
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/icpr.2016.7899972openalex-snapshot
Selective deep features for micro-expression recognition
inferredcites →https://doi.org/10.1109/t-affc.2010.8openalex-snapshot
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
inferredcites →https://doi.org/10.1109/taffc.2017.2667642openalex-snapshot
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods
inferredcites →https://doi.org/10.1109/tmm.2018.2820321openalex-snapshot
Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition
inferredcites →https://doi.org/10.1109/tmm.2019.2931351openalex-snapshot
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions
inferredcites →https://doi.org/10.1371/journal.pone.0086041openalex-snapshot
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
inferredcites →https://doi.org/10.3389/fpsyg.2017.01745openalex-snapshot
Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-9952-0_24openalex-snapshot
Micro-Expression Recognition Based on the Suppression of Static Region Amplification
inferred← citeshttps://doi.org/10.1007/978-981-99-4742-3_45openalex-snapshot
Micro-expression Recognition Based on Dual-Branch Swin Transformer Network
inferred← citeshttps://doi.org/10.1007/s11760-025-04405-zopenalex-snapshot
A lightweight MobileViT with Linear Differential Attention for Micro-expression recognition
inferred← citeshttps://doi.org/10.1007/s42979-024-02948-5openalex-snapshot
FMeAR: FACS Driven Ensemble Model for Micro-Expression Action Unit Recognition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2025.104537openalex-snapshot
A multi-modal multi-scale network based on Transformer for micro-expression recognition
inferred← citeshttps://doi.org/10.1016/j.patrec.2025.01.021openalex-snapshot
Entire-detail motion dual-branch network for micro-expression recognition
inferred← citeshttps://doi.org/10.1016/j.sigpro.2025.110171openalex-snapshot
Micro-expression recognition through feature enhancement and region weighted fusion based on supervised contrastive learning
inferred← citeshttps://doi.org/10.1109/access.2023.3314797openalex-snapshot
Micro Expression Recognition Using Convolution Patch in Vision Transformer
inferred← citeshttps://doi.org/10.1109/access.2024.3525151openalex-snapshot
Convolutional Attention Based Mechanism for Facial Microexpression Recognition
inferred← citeshttps://doi.org/10.1109/cbmi62980.2024.10858872openalex-snapshot
Motion Consistency Constraint Map for Facial Expression Spotting
inferred← citeshttps://doi.org/10.1109/comst.2023.3256323openalex-snapshot
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1109/ijcb62174.2024.10744439openalex-snapshot
Attention-based Dual-Branch Network for Micro-Expression Recognition with Global-Local Feature Fusion
inferred← citeshttps://doi.org/10.1109/lsp.2022.3211200openalex-snapshot
A Sparse-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition
inferred← citeshttps://doi.org/10.1109/nnice68970.2026.11466268openalex-snapshot
Micro-expression Recognition Based on Dual-branch Feature Extraction and Fusion
inferred← citeshttps://doi.org/10.1109/taffc.2023.3341918openalex-snapshot
DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3437481openalex-snapshot
MFDAN: Multi-Level Flow-Driven Attention Network for Micro-Expression Recognition
inferred← citeshttps://doi.org/10.1109/tip.2025.3642527openalex-snapshot
Micro-Expression Analysis Based on Self-Adaptive Pseudo-Labeling and Residual Connected Channel Attention Mechanisms
inferred← citeshttps://doi.org/10.1109/wiecon-ece69386.2025.11526636openalex-snapshot
Multimodal Sentiment Analysis Using Late Fusion, Late Fusion Transformer, and Multimodal Transformer
inferred← citeshttps://doi.org/10.1145/3630970.3631080openalex-snapshot
Hybrid Models for Facial Emotion Recognition in Children
inferred← citeshttps://doi.org/10.3390/app15126417openalex-snapshot
Seeing the Unseen: Real-Time Micro-Expression Recognition with Action Units and GPT-Based Reasoning
inferred← citeshttps://doi.org/10.3390/e25071064openalex-snapshot
AM3F-FlowNet: Attention-Based Multi-Scale Multi-Branch Flow Network
inferred← citeshttps://doi.org/10.3390/electronics13020461openalex-snapshot
Dual-Branch Cross-Attention Network for Micro-Expression Recognition with Transformer Variants
inferred← citeshttps://doi.org/10.3390/s23020929openalex-snapshot
Can Hierarchical Transformers Learn Facial Geometry?
inferred← citeshttps://doi.org/10.59782/aai.v1i3.333openalex-snapshot
Micro-expression recognition method integrating LBP and parallel attention mechanism
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